文章基本信息

标题：Relationship between landform classification and vegetation (case study: southwest of fars province, iran)
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作者：Marzieh Mokarram ; Dinesh Sathyamoorthy
期刊名称：Open Geosciences
电子版ISSN：2391-5447
出版年度：2016
卷号：8
期号：1
页码：302-309
DOI：10.1515/geo-2016-0027
语种：English
出版社：Walter de Gruyter GmbH & Co. KG
摘要：Abstract This study is aimed at investigating the relationship between landform classification and vegetation in the southwest of Fars province, Iran. First, topographic position index (TPI) is used to perform landform classification using a Shuttle Radar Topography Mission (SRTM) digital elevation model (DEM) with resolution of 30 m. The classification has ten classes; high ridges, midslope ridges, upland drainage, upper slopes, open slopes, plains, valleys, local ridges, midslope drainage and streams. Visual interpretation indicates that for the local, midslope and high ridge landforms, normalized difference vegetation index (NDVI) values and tree heights are higher as compared to the other landforms. In addition, it is found that there are positive and significant correlations betweenNDVI and tree height (r = 0.923), and landform and NDVI (r = 0.640). This shows that landform classification and NDVI can be used to predict tree height in the area. High correlation of determination (R2) 0.909 is obtained for the prediction of tree height using landform classification and NDVI.
关键词：KeywordsLandform classificationtopographic position indexnormalized difference vegetation index (NDVI)tree heightscorrelation coefficients